Multiparametric Imaging in Radiotherapy Planning

HOST INSTITUTION: Rigshospitalet, University of Copenhagen

Rigshospitalet, founded in 1757, is the most highly specialized hospital in Denmark with more than 100 departments. With 1,120 beds, Rigshospitalet and its 8,000 personnel has responsibility for 65,000 inpatients and approximately 420,000 outpatients annually. The Ph.D candidate will be affiliated with the Department of Clinical Physiology, Nuclear Medicine and PET at Rigshospitalet, Copenhagen - one of the largest PET-departments in Europe. The equipment of the department includes 2 cyclotrons, 7 PET/CT scanners, 1 high resolution Brain PET scanner and 1 PET/MR (Siemens mMR installed with GE SPINlab MR Hyperpolarizer) as well as extensive animal imaging facilities. The department performs 10.000 PET examinations annually and is characterized by a strong interdisciplinary collaboration with a large physics group. We have a strong collaboration with our clinical colleagues, especially at the Department of Oncology and Radiotherapy. As a PhD-student you will be enrolled at The University of Copenhagen, Faculty of Health.


Modern radiotherapy (RT) can be delivered with increasingly high precision, thus, making it possible   to specify different doses not only to different tumours within the same patient but also to different areas within the same tumour – also known as dose painting. This study is based on the hypothesis that multiparametric imaging (MPI) can improve our ability to characterize tumours and tumour response following RT, as well as, ultimately, RT target definition. The project aims to demonstrate that MPI can be integrated in a clinical radiotherapy workflow and thus potentially translating the benefits of improved RT efficiency and evaluation of treatment to improved patient survival.

The position is a 3-y full time position as an early stage researcher (ESR) under the auspices of the HYBRID programme. The successful PhD candidate will be part of an interdisciplinary research group investigating the feasibility, technical challenges and potential clinical value of multi-parametric imaging for dose painting in radiotherapy planning and early response evaluation. Focus will be on PET/MR and PET/CT data of patients within the field of whole-body oncology (e.g. cervical cancer, lung cancer and head-and-neck cancer).

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